• Journal of the Korean Society of Radiology
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• v.11 no.6
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• pp.517-523
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• 2017

As the research for evaluating the welfare satisfaction factor of radiological technologist who works in the clinic, this study was conducted to analysis the satisfaction factor, satisfaction level, and the improvements. During July 14, 2014 to March 31, 2015, after we sent out a total of 150 questionnaires for the survey to radiological technologists working at the clinic located in Gyoungsangnam province, 130 questionnaires suitable for research were analysis by using SPSS 18.0 statistical analysis software. As the welfare factors, working environment, financial support, educational opportunity, medical support, working culture, etc. were used. And as the sociodemographic characteristics, the gender, marriage, level of education, age, and working period were used. As a result of analysis of satisfaction level by welfare factors, working environment was $2.74{\pm}0.65$, financial support was $2.42{\pm}0.74$, educational opportunity was $2.24{\pm}0.72$, medical support was $2.68{\pm}0.69$, and working culture was $2.27{\pm}0.64$. Consequentially, the satisfaction level of welfare factor ($2.45{\pm}0.59$) was confirmed as below average. On the nature of the clinic, the management's lack of awareness of welfare is a realistic limit. In order to improve the satisfaction level of clinic's radiological technologist, it thought that there should be the proactive changes of the managements and the change of the medical staff 's perception. Moreover, it is important to provide selective welfare effectively by the investigation of employees' desire for welfare.

• The Journal of the Korea Contents Association
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• v.19 no.11
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• pp.314-324
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• 2019

This study inspected 203 employees with disabilities who are working in social enterprises based in Seoul and Gyeonggi-do from March to June 2019 in order to find out the factors of self-efficacy, social support, wages and welfare, relationship with upper management and co-worker relationships which influence job Performance and job satisfaction of disabled workers. The implications of this research are as follows. First, the factors that positively affect work performance are self-efficacy and co-worker relationships. It was shown that trust and respect that disabled workers working in domestic social corporations perceive while diligently performing the work without any bias and getting from coworkers led to good work performance. Second, when the current wage was determined by the employee's perceived ability, skill and current workloads that fit to their ability, the workers expressed job satisfaction. Moreover, job satisfaction by the employees was followed by the perception of the possibility of living a more stable life with the current monthly income. Third, upper managements' care on personal issues, acknowledgment of autonomy and support through communication have led to job satisfaction among the employees. Lastly, considering the research result in which the social support that the disabled workers perceive does not show any positive effect on work performance or work satisfaction, it can be concluded that there is a need for a change in the social perception of disabled workers.

• Journal of Korean Society of Forest Science
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• v.110 no.1
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• pp.64-71
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• 2021

Recently, climate change has gradually accelerated the occurrence of landslides. Among the various effects caused by landslides,debris flow is recognized as particularly threatening because of its high speed and propagating distance. In this study, the impacts of various factors were analyzed using quantification theory(I) for the prediction of debris flow hazard soil volume in Seoraksan National Park, Korea. According to the range using the stepwise regression analysis, the order of impact factors was as follows: vertical slope (0.9676), cross slope (0.6876), altitude (0.2356), slope gradient (0.1590), and aspect (0.1364). The extent of the normalized score using the five-factor categories was 0 to 2.1864, with the median score being 1.0932. The prediction criteria for debris flow occurrence based on the normalized score were divided into four grades: class I, >1.6399; class II, 1.0932-1.6398; class III, 0.5466-1.0931; and class IV, <0.5465. Predictions of debris flow occurrence appeared to be relatively accurate (86.3%) for classes I and II. Therefore, the prediction criteria for debris flow will be useful for judging the dangerousness of slopes.

• Journal of Industrial Convergence
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• v.20 no.10
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• pp.25-32
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• 2022

The purpose of this study was to identify the degree of empathy, communication competence and person-centered care of nursing students to identify the factors that influence person-centered care. Data were collected by using questionnaires from 207 students in the 3^rd and 4^th grades of the nursing college who experienced clinical practice in G city, from May 2 to 20, 2022. Data were analyzed by t-test, ANOVA, Games-Howell test, Scheffe test, Pearson's correlation, and multiple regression. Statistically, person-centered care showed a significantly positive correlation with empathy(r=.57, p<.001) and communication competence(r=.63, p<.001). Influencing factors on person-centered care were communication competence(β=.44, p<.001), empathy(β=.30, p<.001) and clinical practice satisfaction(β=-.13, p=.028) accounting for 49.8% of the total change. Based on this results, in order to improve person-centered care of nursing students, it is necessary to develop education programs to increase communication competence and empathy ability and to provide active feedback through pre and post evaluation to increase clinical practice satisfaction.

• Asia Marketing Journal
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• v.11 no.4
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• pp.69-93
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• 2010

In this research, through experiments, we show that incongruity of color between mediums has positive influence on brand attitude in terms of integrated management of brand. We also present that self-image congruence of 'brand-consumer' has moderating effect on such influence of color incongruity. Mediums were limited to the ones that magnifying visual influence in order only to observe influence of color. With the same reason, visual factors other than color were coherently set or held constant and we chose brands with either low familarity or no previous knowledge. As a result, we find that brand attitude by the incongruity of color between mediums was higher compared to brand attitude by the congruence of color. In case with lower self-image congruence of brand-consumer we show higher change in attitude compared to the one with higher self-image congruence of brand-consumer. We believe our findings are interesting to note that brand may be enhanced by forming positive brand attitude through brand expression i.e., color of visual factors. In addition, we suggest that level of congruence and diversity of brand expression is in fact deeper or wider than that of brand manager's intuition. We see that it is possible for studying brands the incongruity which has been studied as a strategy to reposition mature brands can be a way of improving the recognition on new brands.

• Journal of Intelligence and Information Systems
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• v.17 no.4
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• pp.241-254
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• 2011

Financial time-series forecasting is one of the most important issues because it is essential for the risk management of financial institutions. Therefore, researchers have tried to forecast financial time-series using various data mining techniques such as regression, artificial neural networks, decision trees, k-nearest neighbor etc. Recently, support vector machines (SVMs) are popularly applied to this research area because they have advantages that they don't require huge training data and have low possibility of overfitting. However, a user must determine several design factors by heuristics in order to use SVM. For example, the selection of appropriate kernel function and its parameters and proper feature subset selection are major design factors of SVM. Other than these factors, the proper selection of instance subset may also improve the forecasting performance of SVM by eliminating irrelevant and distorting training instances. Nonetheless, there have been few studies that have applied instance selection to SVM, especially in the domain of stock market prediction. Instance selection tries to choose proper instance subsets from original training data. It may be considered as a method of knowledge refinement and it maintains the instance-base. This study proposes the novel instance selection algorithm for SVMs. The proposed technique in this study uses genetic algorithm (GA) to optimize instance selection process with parameter optimization simultaneously. We call the model as ISVM (SVM with Instance selection) in this study. Experiments on stock market data are implemented using ISVM. In this study, the GA searches for optimal or near-optimal values of kernel parameters and relevant instances for SVMs. This study needs two sets of parameters in chromosomes in GA setting : The codes for kernel parameters and for instance selection. For the controlling parameters of the GA search, the population size is set at 50 organisms and the value of the crossover rate is set at 0.7 while the mutation rate is 0.1. As the stopping condition, 50 generations are permitted. The application data used in this study consists of technical indicators and the direction of change in the daily Korea stock price index (KOSPI). The total number of samples is 2218 trading days. We separate the whole data into three subsets as training, test, hold-out data set. The number of data in each subset is 1056, 581, 581 respectively. This study compares ISVM to several comparative models including logistic regression (logit), backpropagation neural networks (ANN), nearest neighbor (1-NN), conventional SVM (SVM) and SVM with the optimized parameters (PSVM). In especial, PSVM uses optimized kernel parameters by the genetic algorithm. The experimental results show that ISVM outperforms 1-NN by 15.32%, ANN by 6.89%, Logit and SVM by 5.34%, and PSVM by 4.82% for the holdout data. For ISVM, only 556 data from 1056 original training data are used to produce the result. In addition, the two-sample test for proportions is used to examine whether ISVM significantly outperforms other comparative models. The results indicate that ISVM outperforms ANN and 1-NN at the 1% statistical significance level. In addition, ISVM performs better than Logit, SVM and PSVM at the 5% statistical significance level.

• Culinary science and hospitality research
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• v.17 no.3
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• pp.151-161
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• 2011

The aim of this study is to investigate the relationships among obesity, eating-out behaviors, and eating habits in the housewives living in Busan and Gyeongnam Province. In order to analyze the data obtained from 249 housewives, SPSS statistical program 17.0 was used. Also, frequency, factors, $x^2$-test, and cluster analyses were conducted as well as one-way ANOVA analysis. The results of the analyses have shown that their average height was 160.75 cm, and their average weight was 57.51 kg. Their BMI was investigated resulting in normal weight being 56.6%, overweight and obesity 37.0%. Concerning the number of eating out opportunities a month, 65.5% said under four times. Their per capita cost of eating out was between 7001 Won and 11,000 Won, being 34.9%. The purpose of eating out was family occasions being 44.2%. Those who were accompanied by them were their family members. and relatives being 63.8%. Their favorite restaurants were public restaurants being 47.8%. It was investigated that they got the information about eating-out through their acquaintances being 79.1%. According to the results of the cluster analysis by the factor of their eating habits, Cluster 1 was named as Intermediate Eating Habits group, Cluster 2 as Not Good Eating Habits group, and Ouster 3 as Good Eating Habits group. There were significant difference (P<0.01) in the difference analysis between the three clusters and the eating habits factor. This study showed that 37% of housewives in the Busan and Gyeongnam area were classified as overweight and obese and needed to change their eating behavior. The reason why obesity in the age group of those over 51 was higher than those under 30 was their going through menopause.

• Journal of Digital Convergence
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• v.14 no.12
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• pp.35-42
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• 2016

This study investigated development method of governance of local residence, central and local government based on fishing ports as a new paradigm for restoration of sustainable space environment on Hyeonpo Harbor in Ulleung Island. According to the result of conducting a questionnaire survey on residents of Ulleung Island in order to carry out the research purposes, vulnerable living environment as poor accessibility and lack of hospital, community health center, and shopping district were pointed out as the biggest problem of residential environment in Ulleung Island of today. Secondly, there was a high recognition that development project on Ulleung Island of the government and local government is not actually contributing to the revitalization of regional economy and improvement in quality of life of Ulleung Island residents, and thirdly, lack of understanding on the importance or usage of various resources in Ulleung Island and insufficient support of the central government and local autonomous entity were pointed out as the bottleneck factors in implementation of the Ulleung Island development project. Fourthly, they perceived the current management level of Hyeonpo Harbor to be unsatisfactory. The results of this study demonstrated the importance of durability of development entities, vision of development of Hyeonpo Harbor, effort for the change of ownership mind, phased implementation considering reality of the area, and development that can provide small-scale profitable contents than a large theme.

• Management & Information Systems Review
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• v.35 no.4
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• pp.185-211
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• 2016

This study examined the impact of learning organization activities on burnout and the moderating effect of supervisor trust in a learning organization. The results of the study shows that among the activities of a learning organization, independent variables in this study, promoting inquiry and dialogue as well as encouraging collaboration and team learning affect burnout. In other words, the dedication of an organization to creating a culture in which various learning approaches are experimented through questioning and giving feedback as well as collaborative learning that can reinforce the effective use of team resources have an impact on reducing emotional exhaustion, which is considered to be at the core of burnout. Plus, these factors reduce impersonalization, which is activated to prevent further emotional exhaustion by dealing with customers, colleagues and jobs in a cold, negative and perfunctory way. In this study, the dimensions of promoting inquiry and dialogue as well as encouraging collaboration and team learning were found to reduce the decline in personal sense of achievement of an employee with a negative assessment of himself or herself derived from a lack of achievement in his or her job. Supervisor trust (integrity, benevolence and ability) had a moderating effect on the relationship between strategic learning leadership and impersonalization/emotional exhaustion. This suggests that the trust of supervisor helps mediate and moderate the emotional exhaustion and impersonalization of organizational members by encouraging leaders to drive change and take the organization to a new direction. The study has provided implications that communication plays an important role in reducing burnout in the learning context such as positive, appreciative inquiry and feedback analysis to identify strength, and that supervisor trust is critical in order to ensure strategic learning leadership exerts greater influence on the organization.

• Korean Journal of Construction Engineering and Management
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• v.15 no.4
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• pp.150-158
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• 2014

A bunch of asphalt roads have been damaged frequently in relation to the rapid climate change. To solve and prevent this type of problems, many nationalities in the world have performed various researches. In this regard, the objective of this study is to develop prediction model as to the number of potholes occurred in seoul. At the same time, we have utilized empirical and statistical approaches in order for us to identify factors which is affecting the actual occurrence. The predictive model was determinded by using BHS (Basic Harmony Search) algorithm. Prediction was based on the weather and traffic data as well as data occurrence data of porthole. To assess the influences which are PAR(Pitch Adjusting Rate) and HMCR(Harmony Memory Considering Rate), we determined suitability by changing the values. In the process of the determining a predictive model, the predictive model composed Training data (2011, 2012 and 2013yrs data). To determine the suitability of the model, we have utilized Testing Set (2009 and 2010 yrs data). The suitability of the basic prediction model has been from RMSE(Root Mean Squared Error), MAE(Mean Absolute Error) and Coefficient of determination.